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Here, we assume perfect knowledge of actor head pose direction (from an oracle).
Finally, in a fully automatic combined model, we replace the oracle head pose direction data with detections from a computer vision model of head pose.
For each face patch, the detector reported the estimated pose direction and detection confidence and also the locations and confidences of pre-defined fiducial control points (e.g., eyes, nose, mouth).
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We pose various directions for future research, which may help in explaining these findings.
Autonomous vehicles rely on the accurate estimation of their pose, speed and direction of travel to perform basic navigation tasks.
However, no computational model has been proposed to combine bottom-up saliency with actor's head pose and gaze direction for predicting where observers look.
Typically, unconstrained faces include faces that are subject to factors such as changes in illumination direction, pose, expression, and recently introduced variations due to plastic surgery [2].
This study revealed that variations in the Y-axis bias (predominantly in the cross-track direction) pose a major limitation in the observing system.
While for single frame estimation this formulation fuses the measurements (of head pose and body direction) with prior beliefs, when analysing video data we can further impose smoothness constraints to encode temporal coherence: the joint prior at time is in this case taken to be, where we use the assumption that the current direction is independent of previous gaze.
It is often necessary for humans to use their sense of vision to signal such events and to make revised motor actions in order to either intercept the moving object or else to avoid it, should its new direction pose a threat.
Therefore, the detailed description of the occurrence and the role of SNPs located in these three genes of the TLR family might pose a significant direction of research to determine new genetic alterations involved in immunity against T. gondii infections in pregnant women, their fetuses, and newborns.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com